code: def test_get_hyperparameter_grid():
      """Tests getting hyperparameter grid."""
      model = LagBasedTemplate()
      metadata_param = MetadataParam(
          time_col="ts", value_col="y", freq="H"
      )
      model_components = ModelComponentsParam(
          seasonality=dict(yearly_seasonality=5),
          custom=dict(lag_unit=LagUnitEnum.day.name),
          uncertainty=dict(
              uncertainty_dict=dict(
                  uncertainty_method="simple_conditional_residuals"
              )
          ),
          hyperparameter_override=dict(
              estimator__lags=[[1], [1, 2, 3]]
          ),
      )
      forecast_config = ForecastConfig(
          metadata_param=metadata_param,
          model_components_param=model_components,
      )
      model.config = forecast_config
      hyperparameter_grid = model.get_hyperparameter_grid()
      assert hyperparameter_grid == {
          "estimator__freq": ["H"],
          "estimator__lag_unit": [LagUnitEnum.day.name],
          "estimator__lags": [[1], [1, 2, 3]],
          "estimator__agg_func": [AggregationFunctionEnum.mean.name],
          "estimator__agg_func_params": [None],
          "estimator__uncertainty_dict": [
              dict(uncertainty_method="simple_conditional_residuals")
          ],
          "estimator__past_df": [None],
          "estimator__series_na_fill_func": [None],
      }
  
imports: import pandas
  import pytest
  from testfixtures import LogCapture
  from greykite.common.aggregation_function_enum import AggregationFunctionEnum
  from greykite.common.constants import LOGGER_NAME
  from greykite.common.constants import PREDICTED_COL
  from greykite.framework.templates.autogen.forecast_config import EvaluationPeriodParam
  from greykite.framework.templates.autogen.forecast_config import ForecastConfig
  from greykite.framework.templates.autogen.forecast_config import MetadataParam
  from greykite.framework.templates.autogen.forecast_config import ModelComponentsParam
  from greykite.framework.templates.forecaster import Forecaster
  from greykite.framework.templates.lag_based_template import LagBasedTemplate
  from greykite.framework.templates.model_templates import ModelTemplateEnum
  from greykite.framework.utils.result_summary import summarize_grid_search_results
  from greykite.sklearn.estimator.lag_based_estimator import LagBasedEstimator
  from greykite.sklearn.estimator.lag_based_estimator import LagUnitEnum
label_desc: Use image node_id 6 for calling a global function with example usage: test_get_hyperparameter_grid() without return types